Triple

T20064759
Position Surface form Disambiguated ID Type / Status
Subject Urgench International Airport E499578 entity
Predicate ICAOcode P419 FINISHED
Object UTNU
UTNU is the ICAO airport code for Urgench International Airport in Uzbekistan, which serves the city of Urgench and the nearby Khiva region.
E1410813 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UTNU | Statement: [Urgench International Airport, ICAOcode, UTNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTNU
Context triple: [Urgench International Airport, ICAOcode, UTNU]
  • A. TNU
    TNU is the commonly used abbreviation for Tajik National University, a major public higher education institution in Tajikistan.
  • B. UTNN
    UTNN is the ICAO airport code for Nukus Airport in Nukus, Uzbekistan.
  • C. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • D. UNNT
    UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
  • E. NUTN
    NUTN is the abbreviation for the National University of Tainan, a public university in Tainan, Taiwan known for its teacher education and humanities programs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UTNU
Triple: [Urgench International Airport, ICAOcode, UTNU]
Generated description
UTNU is the ICAO airport code for Urgench International Airport in Uzbekistan, which serves the city of Urgench and the nearby Khiva region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UTNU
Target entity description: UTNU is the ICAO airport code for Urgench International Airport in Uzbekistan, which serves the city of Urgench and the nearby Khiva region.
  • A. TNU
    TNU is the commonly used abbreviation for Tajik National University, a major public higher education institution in Tajikistan.
  • B. UTNN
    UTNN is the ICAO airport code for Nukus Airport in Nukus, Uzbekistan.
  • C. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • D. UNNT
    UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
  • E. NUTN
    NUTN is the abbreviation for the National University of Tainan, a public university in Tainan, Taiwan known for its teacher education and humanities programs.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e663787190819096b2b78b38c1bf12 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f38a7d88190ab158529cea64f87 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0823b9f6b081908b71f1061446e31e completed May 16, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a08247ad2b0819095315aec25816448 completed May 16, 2026, 8:02 a.m.
Created at: April 11, 2026, 3:39 p.m.